Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images.
Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images.
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DOI：
10.1109/tip.2011.2114352
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发表时间：
2011-08
期刊：
影响因子：
--
通讯作者：
Suzuki K
中科院分区：
文献类型：
--
作者：
He L;Chao Y;Suzuki K
Whenever one wants to distinguish, recognize, and/or measure objects (connected components) in binary images, labeling is required. This paper presents two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images. One is voxel based and the other is run based. For the voxel-based one, we present an efficient method of deciding the order for checking voxels in the mask. For the run-based one, instead of assigning each foreground voxel, we assign each run a provisional label. Moreover, we use run data to label foreground voxels without scanning any background voxel in the second scan. Experimental results have demonstrated that our voxel-based algorithm is efficient for 3-D binary images with complicated connected components, that our run-based one is efficient for those with simple connected components, and that both are much more efficient than conventional 3-D labeling algorithms.
